Implicit map based localization approaches take the advantages of deep learning in automatically extracting features, that play a vital role in global localization in featureless environments, where conventional methods are prone to fail. However, the requirement of scene-specific training prohibits it from generalizing to unseen scenes without being retrained. Also, current implicit map based approaches have not shown comparable performance over other explicit map based methods [1]}.
